Fraudulence monitoring system of a table game and fraudulence monitoring program of table game

ABSTRACT

A detection system of the present disclosure stores positions and the amount of game tokens that a game participant places on a game table based on a measurement result by a bet chip measuring device in the same persons for each game participant or player positions of the game table. A management control device compares an actual winning rate and a total return amount with figures obtained by a probability statistic calculation at the time of an end of the number of games to determine whether there is a significant difference therebetween and specifies any one of the game participant or the player position, the game table, or a room having the game table where the significant difference is occurring.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent applicationSer. No. 17/730,614 filed Apr. 27, 2022, which is a continuation of U.S.patent application Ser. No. 16/649,191 filed Mar. 20, 2020 (nowabandoned), which is a national phase application under 35 U.S.C. § 371of International Application No. PCT/JP2018/034604 filed Sep. 19, 2018,which claims priority to JP Pat. App. No. 2017-198037 filed Sep. 21,2017, the entire contents of each disclosure is incorporated herein byreference.

DESCRIPTION Technical Field

The present disclosure relates to a fraudulence monitoring system of atable game in a game hall, and more particularly, to a technology fordetecting a fraudulent act.

Background

Attempts are being made to prevent various fraudulent acts in a gamehall such as a casino. The game hall has surveillance cameras formonitoring fraudulent acts and prevents fraudulence by determiningfraudulence during a game and fraudulence by collection or repayment ofchips different from a win or lose result using images obtained from thesurveillance cameras. Meanwhile, it is suggested to grasp an amount ofchips by attaching an IC tag to each chip in order to grasp the numberof betted chips and a total amount of betted chips.

PCT/JP2015/000171 discloses a card game monitoring system whichdetermines whether chips placed on a game table are collected or repaidas a win or lose result by performing an image analysis on a movement ofchips and monitors a fraudulent act.

In the game hall such as the casino, the game table is recorded by thesurveillance camera, and when the amount of money won at a time by agame participant is large, the recorded VTR is played to confirm whetheror not there is a fraudulent act. However, there is a problem thatfraudulence such as sophisticated fraudulence acts in a game table andcontinuous winning of a small amount of money cannot be found by simplydetecting that the game participant wins the large amount of money. Inaddition, the related art does not sufficiently prevent a fraudulenceact by collusion of a dealer and a player.

SUMMARY OF THE INVENTION

An object of the present disclosure is to prevent damage due to afraudulent act by continuously monitoring an amount betted by a gameparticipant and win or lose of a game, comparing data of a probabilitystatistic calculation or past statistical data, and detecting asuspicious pattern suspected of being fraudulent.

To solve the conventional problem, a fraudulence monitoring system of atable game includes: a win and lose determination device whichdetermines win and lose results for each game in a game table; a betchip measuring device which grasps an amount of game tokens that a gameparticipant bets on the game table in each game; and a managementcontrol device which stores the number of games performed on the gametable and specifies positions and the amount of game tokens that thegame participant places on the game table based on a measurement resultby the bet chip measuring device in each game and stores the specifiedpositions and amount of game tokens in each game participant or playerpositions of the game table, wherein the management control deviceincludes a calculation function which compares results of an actualwinning rate and a total return amount of the same person in each gameparticipant or player position with figures obtained by a probabilitystatistic calculation at the time of an end of a predetermined number ofgames, on the basis of a calculation on a total number of games in whichthe same person participates in each game participant or playerposition, a transition of bet chip amounts for each game, a win and losefor each game, and a return amount obtained in each game to determinewhether there is a significant difference therebetween, and specifiesany one of the game participant or player position, the game table, or aroom having the game table where the significant difference isoccurring.

The management control device may further include a function whichspecifies dealers in each game and include a function which specifies adealer responsible for a series of games in which the significantdifference occurs.

The management control device may include a calculation function whichfactorizes the total return amount in a series of games in which thesignificant difference occurs to specify whether an occurrence cause ofthe significant difference in the series of games in which thesignificant difference occurs is due to the winning rate or due to amagnitude of a betted amount of the bet chip.

The management control device may include a calculation function whichstores the bet chip amounts for each game at the bet position havingdifferent return rates, and specifies whether the occurrence cause ofthe significant difference in a series of games in which the significantdifference has occurred is associated with the bet position havingdifferent return rates.

The management control device may have a plurality of criteria whichdetermine whether there is a significant difference and issue adifferent kind of warnings for each criterion.

The management control device may have different determination criteriaof a different significant difference for the number of games divided bya predetermined rule or for each of the predetermined number of gamesand issue a different kind of warnings.

The management control device may determine whether there aresignificant differences for each game sequentially or every time thepredetermined number of games is progressed in accordance with theprogress of the plurality of games, and issue a warning when thedetermination criteria on the significant difference exceed.

The management control device may have a plurality of criteria whichdetermine whether there is a significant difference and specify the gameparticipant or the player position having the fraudulence possibilityfor each criterion to be able to display scores for each differentcriteria and display scores or ranks for warnings.

The management control device may obtain the figures obtained by theprobability statistic calculation used to determine whether there is asignificant difference based on a conditional probability calculationwhen a specific element is a fixed value.

The management control device may further include a function whichsequentially grasps the spots from the playing cards or spots of dicefrom a series of games, and estimates the fraudulence cause in the casein which it is determined that there is a significant difference basedon the data of the spots from a series of games and enumerates thefraudulence cause with the possibility.

The management control device may estimate the fraudulence causedetermined that there is the significant difference using any one orboth of big data on past games or past fraudulent data, and enumeratethe cause with the fraudulence possibility.

To solve the conventional problem, the fraudulence monitoring system ofthe present invention may adopt the following form. A fraudulencemonitoring system of a table game, includes: an income and expendituregrasping device which grasps income and expenditure of a casino side foreach game table in a plurality of game tables; and a management controldevice which stores the number of games performed on each game table andsequentially grasps and stores a transition of the income andexpenditure of the casino side in each game, wherein the managementcontrol device includes a calculation function which compares results ofthe income or expenditure of the casino side with figures obtained by aprobability statistic calculation at the time of an end of apredetermined number of games, on the basis of a calculation on a totalnumber of games performed on each game table and the transition of theincome and expenditure of the casino side in each game to determinewhether there is a significant difference therebetween, and specifiesany one of the game table or a room having the game table where thesignificant difference is occurring.

To solve the conventional problem, the fraudulence monitoring system ofthe present invention may adopt the following form. A fraudulencemonitoring system of a table game, includes: a win and losedetermination device which determines win and lose results for each gamein a game table; a bet chip measuring device which grasps an amount ofgame tokens that a game participant bets on the game table in each game;and a management control device which stores the number of gamesperformed on the game table and specifies positions and the amount ofgame tokens that the game participant places on the game table using ameasurement result by the bet chip measuring device in each game andstores the specified positions and amount of game tokens in each gameparticipant or player positions of the game table, wherein themanagement control device includes artificial intelligence having pastdata of a fraudulent game taught as training data, and further includesa calculation function which determines whether a significant differencewith fraudulence possibility occurs in any one of the game participantor player position, the game table, or a room having the game table atthe time of an end of a predetermined number of games, on the basis of acalculation on a total number of games in which the same personparticipates in each game participant or player position, a transitionof bet chip amounts for each game, a win and lose for each game, and areturn amount obtained in each game.

The management control device may further include a function whichspecifies dealers in each game and include a function which specifiesthe dealer responsible for a series of games in which the significantdifference occurs.

The management control device may include a calculation function whichfactorizes the total return amount in a series of games in which thesignificant difference occurs to specify whether an occurrence cause ofthe significant difference in the series of games in which thesignificant difference occurs is due to the winning rate or due to amagnitude of a betted amount of a bet chip.

The management control device may include a calculation function whichstores the bet chip amounts for each game at the bet position havingdifferent return rates, and specifies whether the occurrence cause ofthe significant difference in a series of games in which the significantdifference has occurred is associated with the bet position havingdifferent return rates.

The management control device may have a plurality of criteria whichdetermine whether there is a significant difference and issue adifferent kind of warnings for each criterion.

The management control device may have different criteria of a differentsignificant difference for the number of games divided by apredetermined rule or for each of the predetermined number of games andissue a different kind of warnings.

The management control device may have a plurality of criteria whichdetermine whether there is a significant difference and specify the gameparticipant or the player position having the fraudulence possibilityfor each criterion to be able to display scores for each differentcriterion and display scores or ranks for warnings.

The management control device may further include a function whichsequentially grasps the spots from playing cards or spots of dice from aseries of games, and estimates the fraudulence cause in the case inwhich it is determined that there is a significant difference based onthe data of the spots from a series of games and enumerates thefraudulence cause with the possibility.

The management control device may estimate the fraudulence cause in thecase in which there is a significant difference using the big data aboutthe past game as an additional item and enumerate the causes with thefraudulence possibility.

To solve the conventional problem, the fraudulence monitoring system ofthe present invention may adopt the following form. A fraudulencemonitoring system of a table game, includes: an income and expendituregrasping device which grasps income and expenditure of a casino side foreach game table in a plurality of game tables; and a management controldevice which stores the number of games performed on each game table andsequentially grasps and stores a transition of the income andexpenditure of the casino side in each game, wherein the managementcontrol device includes artificial intelligence having data of a pastfraudulent game taught as training data, and further includes acalculation function which compares results of the income or expenditureof the casino side with figures obtained by a calculation of theartificial intelligence having the data of the past fraudulent gametaught as the training data on the basis of a calculation on a totalnumber of games performed on each game table and the transition of theincome and expenditure of the casino side in each game to determinewhether there is a significant difference therebetween, and determines apossibility that fraudulence occur in any one of the game table or aroom having the game table where the significant difference isoccurring.

To solve the conventional problem, the fraudulence monitoring system ofthe present invention may adopt the following form. A fraudulencemonitoring program of a table game, includes: a win and lose determiningstep of grasping win and lose results for each game in a game table; abet chip grasping step of grasping an amount of game tokens that a gameparticipant bets on the game table in each game; a game progressing,grasping, managing step of storing the number of games performed on thegame table and specifying bet patterns of the game tokens that the gameparticipant places on the game table using transition data of a bet chipin the bet chip grasping step in each game and storing the specified betpatterns in each game participant or player positions of the game table;and a step of verifying occurrence possibility of a fraudulence act,wherein the step of verifying the occurrence possibility of thefraudulence act includes a step of calculating an actual winning rate ofthe same person in each game participant or player position and a stepof calculating a total return amount at the time of an end of apredetermined number of games end, on the basis of grasping andcalculating a total number of games in which the same personparticipates in each game participant or player position, a transitionof a bet chip amount, and a return amount for each game, a significantdifferent determining step of comparing the obtained winning rate andtotal return amount with a winning rate and a total return amount basedon a probability statistic calculation or past data to determine whetherthere is a significant difference therebetween in the predeterminednumber of games, and an abnormal spot determining step of specifying anyone of the game participant or player position, the game table, or aroom having the game table where the significant difference isoccurring.

The step of verifying the occurrence possibility of the fraudulence actmay further include a step of specifying dealers in each game and has astep of specifying the dealer responsible for the series of games inwhich the significant difference occurs in the abnormal spot determiningstep.

The step of verifying the occurrence possibility of the fraudulence actmay further include an artificial intelligence learning step that learnsdata of a past fraudulent game as training data.

The fraudulence monitoring system of a table game may further include: adevice which specifies the game participant of the game table from theinformation on a face authentication system or the credit card or thelike used.

According to the above configuration, it is possible to prevent damagedue to a fraudulent act by continuously monitoring an amount betted by agame participant and win or lose of a game, comparing data obtained by aprobability statistic calculation or past statistical data, anddetecting a suspicious pattern suspected of being fraudulent.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram schematically showing the whole fraudulencemonitoring system in a game hall having a game table according to anembodiment of the present disclosure.

FIG. 2 is a perspective view of a chip showing an example of anoverlapping state of grasped chips in the embodiment of the presentdisclosure.

FIG. 3 is a front cross-sectional view of a game token in the embodimentof the present disclosure.

FIG. 4 is a perspective view of a chip showing another example of theoverlapping state of grasped chips in the embodiment of the presentdisclosure.

FIG. 5 is a schematic diagram of a casino system having a plurality ofgame tables according to the embodiment of the present disclosure.

FIG. 6 is a diagram showing an example of a graph showing a returnamount for each game participant according to the embodiment of thepresent disclosure.

FIG. 7 is a graph showing a winning rate of a game participant accordingto the embodiment of the present disclosure.

FIG. 8 is another graph showing a winning rate of a game participantaccording to the embodiment of the present disclosure.

FIG. 9 is a diagram schematically showing a fraudulence monitoringsystem in a game table according to another embodiment of the presentdisclosure.

DESCRIPTION OF EMBODIMENTS

An outline of a fraudulence monitoring system 10 of a game table in agame hall will be described below with reference to the accompanyingdrawings. Here, the table game includes various table games such asbaccarat, blackjack, poker, bridge, roulette, and dice.Representatively, a baccarat game will be described below by way ofexample.

FIGS. 1 and 2 are diagrams showing the whole fraudulence monitoringsystem 10. The game table 4 is a table for baccarat, and is providedwith each bet area 44 for seven game participants 6. Each bet area 44for each game participant 6 includes each area for a player 441, abanker 442, a tie 443, a player pair (P) 444, and a banker pair (B) 445.Each game participant 6 places game tokens 9 representing a bet amounton each area corresponding to a target to be bet, thereby making a bet.

A win or lose determination device which determines win or lose resultsfor each game in the game table 4 uses a card distribution device 3. Thecard distribution device 3 is a so-called electronic shoe already usedby those skilled in the art, and is programmed with rules of a game inadvance and has a structure to make it possible to determine a win orlose of a game by reading information on a playing card to bedistributed. For example, in the baccarat game, the win of the banker,the win of the player, the tie (draw) and the pair (ranks of playingcards of a player or banker are the same) are basically determined byranks of 2 and 3 cards, and the determination result (win or loseresult) is displayed by a result display lamp 13. In addition, the carddistribution device 3 sends the win or lose result of the determinedgame to a management control device 50.

However, according to another embodiment, instead of the carddistribution device 3, a win or lose determination device may determinea win or lose by image recognition of a drawn playing card using acamera device 2.

The camera device 2 is provided above the game table 4 to photograph thebet area 44. The game table 4 according to the present embodiment isprovided with seven player positions 45 (“1”, “2”, “3”, “5”, “6”, “7”,and “8” in FIG. 1 ), and seven game participants 6 can participate inthe game. The camera device 2 photographs the bet areas 44 of all theplayer positions 45. One camera device 2 does not necessary photographthe bet areas 44 of all the player positions 45, but a plurality ofcamera devices 2 may photograph all the bet areas 44 in a shared manner.

The game token 9 has a mark, a pattern and/or a color (may also haveboth of them) which can specify a type (value) of game token 9 on asurface and/or a side of the game token 9, and a bet chip measuringdevice 19 specifies positions (to be betted), types, and the number ofgame tokens 9 placed on the bet areas 44 from colors of edges of sidesurfaces of the game tokens 9 based on the image photographed by thecamera device 2. In this case, the bet chip measuring device 19 may beconfigured to recognize hiding (when a part of one chip is hidden, orwhen the entire chip is hidden) or the like due to dead spots of thegame token 9 using a self-learning function or the like based on theexisting artificial intelligence-based computer or control system and adeep learning (structure) technology, thereby accurately grasping thepositions and number of game tokens.

In addition, as shown in FIG. 4 , the game token 9 may be configured tohave a plurality of plastic layers which have different colors and arestacked, a colored layer 121 which is at least disposed in the middle ofthe plurality of plastic layers, and white layers or light color layers120 which have the colored layer 121 sandwiched therebetween and arestacked on both sides of the game token 9 to form a stripe pattern onthe side surface of the game token 9 in a stacked direction, such thatthe colored layer can specify a type of game tokens 9. In this case, itis possible to specify types (10 points, 20 points, 100 points, 1000points, or the like) of game tokens 9 by changing colors (red, green,yellow, blue, or the like) of the colored layer 121.

In such a case, the game token has a multilayered structure stacked asshown in FIG. 4 (compared with the existing chip shown in FIG. 2 ) andhas the striped pattern distinctly formed on the side surface thereof inthe stacked direction, such that the bet chip measuring device 19 caneasily measure accurately the types and number of game tokens 9.

Alternatively, the structure which detects the position 8 and the typeof game token 9 in the bet area 44 is not limited thereto, and forexample, as shown in FIG. 3 , the game token 9 may be configured to havean RFID 125 embedded in the game token 9, with the RFID 125 storinginformation which can specify the type of game tokens 9 and an RFIDantenna (not shown) which is provided on the game table 4 and reads IDto specify and detect the positions (to be betted), the type, and thenumber of game tokens 9 placed in the bet area 44.

A game token tray 17 for a dealer 5 to accommodate the game token 9 isprovided in front of the dealer 5 of the game table 4. At least a partof the game token tray 17 is embedded in the game table 4. In the gametoken tray 17, the bet chip measuring device 19 analyzes and measuresthe game token 9 stacked in a horizontal direction, thereby determiningthe type and the number of game tokens 9. In this case, the bet chipmeasuring device 19 may specify the positions (to be betted), the type,and the number of game tokens 9 accommodated in the game token tray 17from the color or the like of the edge of the side surface of the gametoken 9 and the like, based on the image photographed by the cameradevice 2, and for example, as shown in FIG. 3 , the game token 9 may beconfigured to have the RFID 125 embedded in the game token 9, with theRFID 125 storing the information which can specify at least the type ofgame tokens 9 and the RFID antenna (not shown) which is provided on thegame table 4 and reads the ID to specify and detect the positions (to bebetted), the type, and the number of game tokens 9 accommodated in thegame token tray 17.

The management control device 50 serves to grasp the positions, thetype, and the number of game tokens 9 on the game table 4 which areobtained by the bet chip measuring device 19, perform a balancecalculation on the casino side in the game table 4 using the win or loseresult obtained from the card distribution device 3 as the win or losedetermination device, stores the number of games performed on the gametable 4, and specifies a position and an amount of game token 9 that thegame participant 6 places on the game table 4 based on the measurementresult of the bet chip measuring device 19 in each game and stores thespecified position and amount of game token 9 in each game participant 6or player positions 45 of the game table 4.

In addition, the management control device 50 has a calculation functionwhich calculates settlement amounts for each game (balance calculationon the casino side in the game table 4) for each game, and is configuredto settle a total amount of game tokens 9 in the game token tray 17 ofthe dealer 5 of the game table 4 with the betted game token 9 of thegame participant 6 after each game and then be able to compare andcalculate whether an increase and decrease in the game tokencorresponding to the settlement is correct. The management controldevice 50 can verify the total amount of game tokens 9 of the game tokentray 17 at all times (or a predetermined time interval).

The management control device 50 stores the total number of games inwhich the same person for each game participant 6 or player position 45participates, a transition of bet chip amounts for each game, and areturn amount obtained in each game. The return amount is an amount ofmoney obtained by betting of the game participant 6. The managementcontrol device 50 calculates a winning rate at the time of the end ofeach game as shown in FIG. 7 on the basis of the calculation on thetotal number of games, the transition of the bet amounts for each game,and the return amounts obtained in each game, aggregates the returnamount obtained in each game, and obtains results of an actual winingrate and a total return amount of the same person for each gameparticipant 6 or player position 45. The management control device 50compares the obtained actual winning rate and total return amount withfigures obtained by a probability statistic calculation to determinewhether there is a significant difference therebetween and specifies anyone of the game participant 6 or the player position 45, the game table4, or a room having the game table 4 where the significant difference isoccurring.

Specifically, for example, the management control device 50 maydetermine that there is a significant difference when the ratio of thewinning rate to the total number of games is higher than a predeterminedthreshold value as compared with the number on the probabilitystatistical calculation, may determine that there is a significantdifference when the ratio of the total return amount to the total numberof games is higher than a predetermined threshold value as compared withthe number on the probability statistical calculation, may determinethat there is a significant difference when the ratio of the winningrate to the total return amount is higher than a predetermined thresholdvalue as compared with the number on the probability statisticalcalculation, may determine that there is a significant difference whenthe total return amount obtained by one participant is higher than apredetermined threshold value as compared with the number on theprobability statistical calculation, or may determine there is asignificant difference according to other criteria.

FIG. 5 shows an overall view of a room having a plurality of game tables4. The management control device 50 stores the total number of games,the transition of the bet amounts for each game, the return amountsobtained in each game for each same person for each game participant 6or player position 45 in each of the plurality of game tables 4, andobtains the winning rate and the total return amount. In addition, themanagement control device 50 may store the total number of games, thetransition of the bet amounts for each game, the return amounts obtainedin each game for each game table 4 and each room, and may obtain thewinning rate and the total return amount. By doing so, it is possible todetect cooperative fraudulent acts in the entire game table or theentire room.

The management control device 50 may further have a function whichspecifies the dealers 5 in each game and may have a function whichspecifies the dealer 5 responsible for the series of games in which thesignificant difference occurs. In addition, the management controldevice 50 stores the total number of games for each dealer 5, thetransition of the bet chip amounts for each game, the return amountsobtained in each game and obtains the winning rate and the total returnamount, thereby detecting a dealer 5 that is highly likely to lead afraudulent act.

FIG. 6 is a diagram showing the transition of the total return amountsfor each game participant 6 over time, in which it is possible to detectthe game participant 6 who is highly likely to do a fraudulent act bycomparing the data obtained by the probability calculation or the paststatistical data with the total return amounts or by comparing the totalreturn amounts with each other among the game participants 6.

The management control device 50 includes a calculation function whichfactorizes the total return amount in a series of games in which thesignificant difference has occurred to specify whether the occurrencecause of the significant difference in a series of games in which thesignificant difference has occurred is due to the winning rate or due toa magnitude of a betted amount of a bet chip. That is, it is possible todetermine whether although the same amount of money is betted uponwinning and losing, since the probability of winning is merely high, thetotal return amount is large or although the probability of winning isnot so high, since a large amount of money is betted upon winning and asmall amount of money is betted upon losing, the total return amount islarge.

In addition, the management control device 50 includes a calculationfunction which stores the bet chip amounts for each game at the betposition having different return rates, and specifies whether theoccurrence cause of the significant difference in a series of games inwhich the significant difference has occurred is associated with the betposition having different return rates. For example, in the baccaratgame, the return rate is twice in the case of the player/banker, 8 timesin the case of the tie, and 11 times in the case of the pair. Therefore,it is possible to detect a betting method to win only in a betting sidewhere the possibility of fraudulent act is high and the return rate likethe tie or the pair is high. In particular, the tie is established if 10or continuous picture cards J, Q, and K are in the game, and thereforeis famous for a fraudulent act.

Further, the management control device 50 has a plurality of criteriafor determining whether there is the significant difference, and issuesa different kind of warning for each criterion. For example, if thedetected significant difference is a significant difference which canoccur at a frequency of about once every three days, a warning of afirst stage is issued, if the detected significant difference is asignificant difference which can occur at a frequency of about once aweek, a warning of a second stage is issued, and if the detectedsignificant difference is a significant difference which can occur at afrequency of about once a month, a warning of a third stage is issued.Upon the detection of the fraudulence, abnormality display lamps 16provided on the win or lose determination device 3 or both sides of thegame table 4 are turned on, and the detection of the fraudulence isoutput to a casino management department or the like in a wireless orwired manner. A monitor or a lamp which performs a warning or a displayin response to the determination result may further be provided inanother place. In addition, it may be configured to be able to play theVTR recorded in the camera device 2 when receiving a warning.

FIG. 7 is a graph showing a change in the number of games of a winningrate of a game participant 6. In this case, for example, a winning rateis high in the range of 100th to 200th games, but if the number of gamesis small, the warning of the first stage is issued because the winningrate is in the range which may occur by the probability calculation.Thereafter, since the wining rate is lowered, the warning disappearsonce, but the winning rate increases again at a 1000th game. In thiscase, the winning rate is high regardless of the large number of games,which is an event that rarely occurs by the probability calculation. Asa result, the warning of the third stage is issued.

In addition, the management control device 50 has determination criteriahaving different significant differences for the number of games dividedby a predetermined rule or for each of the predetermined number of gamesand thus issues a different kind of warnings. For example, in the tablegame using a shuffle playing card like the baccarat, the shuffle playingcard in which playing cards corresponding to 8 to 10 decks are shuffledand are accommodated in a box is set in the card distribution device 3to perform a game. FIG. 8 shows a graph in which data of winning ratesdivided (of shoe 1S, shoe 2S, and shoe 3S) by box (this is referred toas shoe) of the shuffle playing card used in the game are aggregated. Bydoing so, it is possible to detect a fraudulent act such as knowing thearrangement order of specific shuffle playing cards in the box thatcannot be detected only by monitoring the overall winning rate. In thegraph of the upper part of FIG. 8 showing the overall winning ratecontinuously monitored, it seems that the winning rate is high first andthere is no feature later. However, looking at the graphs divided byshoe in the lower part of FIG. 8 , in the shoe 3S, it is possible todetect that the winning rate is high and the possibility of thefraudulent act is high. In addition, it possible to detect that the shoe1S and the shoe 3S become the graph of the same winning rate and thepossibility of the fraudulent act is high.

In addition, the management control device 50 determines whether thereare significant differences for each game sequentially or every time thepredetermined number of games is progressed in accordance with theprogress of the plurality of games, and issues a warning when thedetermination criteria on the significant difference exceed. Forexample, it is difficult to determine that there is a significantdifference even if the winning rate is 70% in the case in which 50 gamesare performed, but if the winning rate is 70% after 500 games areperformed, it is determined that there is a significant difference andthe suspicion of the fraudulent act is increased.

In addition, the management control device 50 may calculate anoccurrence probability for each game unit and determine whether there isa significant difference or not. If each game unit consists of, forexample, 75 games, the management control device 50 calculates theprobability of obtaining the actual results of the 1st to the 75thgames, then calculates the probability of obtaining the actual result ofthe 2nd to the 76th games, and calculates the probability for each gameunit in the same way, and outputs a warning when the occurrenceprobability exceeds the judgment criterion of the significantdifference. The game unit is not limited to one consisting of 75 games,but may consists of 100 games, 300 games or the like. Further, themanagement control device 50 may calculate the occurrence probabilityfor each bet type or each box number.

In addition, the management control device 50 has a plurality ofcriteria which determine whether there is a significant difference andspecifies the game participant 6 or the player position 45 having thefraudulence possibility for each criterion to be able to display scoresfor each different criteria and display scores or ranks for warnings.

In addition, the management control device 50 can obtain the figuresobtained by the probability statistic calculation used to determinewhether there is a significant difference based on a conditionalprobability calculation when a specific element is a fixed value. Forexample, the calculation may be performed by fixing the number of gamesand using the conditional probability calculation.

The management control device 50 further has a function whichsequentially grasps the playing cards or the spots of the dice from aseries of games, and can estimate the fraudulence cause in the case inwhich it is determined that there is a significant difference based onthe data of the spots from a series of games and enumerate thefraudulence cause with the possibility. For example, if a winner of agame is recognized based on the data of the spots from a series of gameswhen a figure of the playing card first drawn is 9, it can be estimatedthat knowing the position of the playing card of 9 is the fraudulencecause.

In addition, the management control device 50 may estimate thefraudulence cause determined that there is the significant differenceusing any one or both of big data on past games or past fraudulent data,and enumerate the cause with the fraudulence possibility.

In addition, the management control device 50 may include a calculationfunction which compares results of the income or expenditure of thecasino side with figures obtained by a probability statistic calculationat the time of an end of a predetermined number of games, on the basisof a calculation on a total number of games performed on the respectivegame tables 4 and the transition of the income and expenditure of thecasino side in each game to determine whether there is a significantdifference therebetween, and specifies any one of the game tables 4 or aroom having the game tables 4 where the significant difference isoccurring. In this case, it is unnecessary to grasp the bet amounts foreach game participant 6, and it is necessary to grasp only the balanceof the game token tray.

Further, the fraudulence monitoring system of the table game may furtherinclude a device which specifies the game participant 6 of the gametable 4 from information on a face authentication system or an ID card,credit card or the like used.

The face authentication system may acquire an image of a face by featurepoint extraction or the like, and allocate an identity number (ID or thelike) to specify the image of the face. When the specified gameparticipant 6 leaves his/her seat and sits on another game table, theface authentication system includes a warning function which informs theanother game table of the existence of the specific player.Specifically, it is possible to warn a pit manager managing each gametable 4 or a manager of each table.

According to another embodiment of the present invention, the managementcontrol device 50 stores the total number of games in which the sameperson for each game participant 6 or player position 45 participates, atransition of bet chip amounts for each game, and a return amountobtained in each game. The return amount is an amount of money obtainedby betting of the game participant 6. The management control device 50includes artificial intelligence having data of past fraudulent gamestaught as training data, and further includes a calculation functionwhich determines whether a significant difference with fraudulencepossibility occurs in any one of the game participant 6 or playerposition 45, the game tables 4, or a room having the game tables 4 atthe time of an end of a predetermined number of games, on the basis of acalculation on a total number of games, a transition of bet chip amountsfor each game, and a return amount obtained in each game

For example, the management control device 50 is a control device ofintelligent type, and is an artificial intelligence type or a deeplearning structure which grasps the position (the betted position on theplayer, the banker, or the pair) and the amount (type and number) of thebetted game token 9 on the game table 4 and compares the win or losehistory and the obtained amount of chips (winning amount) of each gameparticipant 6 from the win or lose results of each game with thestatistical data of a large number (big data) of past games to be ableto be extracted as a unique situation (set by the casino). Typically, inthe situation in which a winning amount equal to or more than any amountof money (a million dollar) is generated or in the situation in whichthe state in which a bet chip amount betted on a losing side is smalland a bet chip amount on a winning side is large is continued in severalgames at the play position 7 of the game table 4, the management controldevice 50 having the artificial intelligence type or a deep learningstructure compares the situation with the statistical data (big data orthe like) of past games to be able to be extracted as a uniquesituation. In addition, the management control device 50 can compare thestatistical data of the past game to determine what the cause of thefraudulent act is.

Since the management control device 50 has the artificial intelligencehaving data of past fraudulent games taught as training data, it ispossible to detect the fraudulent act of the type which is newlydetected by the artificial intelligence.

The management control device 50 may estimate the fraudulence cause inthe case in which there is a significant difference using the big dataabout the past game as an additional item and enumerate the causes withthe fraudulence possibility.

In addition, in the fraudulence monitoring system according to anotherembodiment of the present invention, the management control device 50includes artificial intelligence having data of past fraudulent gamestaught as training data, and further includes a calculation functionwhich determines whether a significant difference with fraudulencepossibility occurs in any one of the game participant 6 or playerposition 45, the game tables 4, or a room having the game tables 4 atthe time of an end of a predetermined number of games, on the basis of acalculation on a total number of games in which the same personparticipates in each game participant 6 or player position 45, atransition of bet chip amounts for each game, a win or lose for eachgame, and a return amount obtained in each game.

According to another embodiment of the present disclosure, a fraudulencemonitoring program of a table game, including: a win or lose determiningstep of grasping win or lose results for each game in a game table 4; abet chip grasping step of grasping an amount of game tokens 9 that agame participant 6 bets on the game table 4 in each game; a gameprogressing, grasping, managing step of storing the number of gamesperformed on the game table 4 and specifying bet patterns of the gametokens 9 that the game participant 6 places on the game table 4 usingtransition data of a bet chip in the bet chip grasping step in each gameand storing the specified bet patterns in each game participant 6 orplayer positions 45 of the game table 4; and a step of verifyingoccurrence possibility of a fraudulence act, wherein the step ofverifying the occurrence possibility of the fraudulence act includes astep of calculating an actual winning rate of the same person in eachgame participant or player position and a step of calculating a totalreturn amount at the time of the end of a predetermined number of games,on the basis of grasping and calculating a total number of games inwhich the same person participates in each game participant 6 or playerposition 45, a transition of a bet chip amount, and a return amount foreach game, a significant different determining step of comparing theobtained winning rate and total return amount with a winning rate and atotal return amount based on a probability statistic calculation or pastdata to determine whether there is a significant difference therebetweenin the predetermined number of games, and an abnormal spot determiningstep of specifying any one of the game participant or player position,the game table, or a room having the game table where the significantdifference is occurring.

The step of verifying the occurrence possibility of the fraudulence actfurther includes a step of specifying the dealers 5 in each game and hasa step of specifying the dealer 5 responsible for the series of games inwhich the significant difference occurs in the abnormal spot determiningstep.

The step of verifying the occurrence possibility of the fraudulence actfurther includes the artificial intelligence learning step that learnsthe data of the past fraudulent games as the training data.

The fraudulence monitoring system of the table game further includes adevice which specifies the game participant 6 of the game table 4 fromthe information on the face authentication system or the credit card orthe like used.

The example of the baccarat is described above, but the table game mayalso be the roulette as shown in FIG. 9 . In the roulette, a kind ofgame token 9 having different colors is used for each player, and eachgame participant 6 performs betting by placing the game tokens 9 havingdifferent colors in each of the bet areas 54. The camera device 2 graspsthe number and the amount of game tokens 9 betted in the bet area 54,and recognizes the colors of the game tokens 9 to grasp the gameparticipants 6 in which the game tokens 9 are placed. The win or losedetermination in the roulette is performed by allowing the camera device2 to recognize a pocket 58 in which a ball 59 enters a wheel 57.Alternatively, the win or lose determination device which is performedby the manual input of the dealer 5 may be provided.

In addition, although not described in detail, the present disclosuremay be applied to various table games such as blackjack, poker, bridge,and dice.

EXPLANATION OF REFERENCES

-   -   1, Playing card    -   2, Camera, Surveillance camera    -   3, Card distribution device    -   4, Game table    -   5, Dealer    -   6, Game participant    -   9, Chip (Game token)    -   44, Bet area    -   441, Player area    -   442, Banker area    -   443, Tie area    -   444, Player pair area    -   445, Banker pair area    -   121, Colored layer    -   122, White layer or light color layer    -   125, RFID

1. A fraudulence monitoring system of a table game at a plurality ofgame tables, the fraudulence monitoring system comprising: a win or losedetermination device configured to determine win or lose results foreach game at each game table of the plurality of game tables; a bet chipmeasuring device configured to determine, for at least one gameparticipant at the plurality of game tables, or for at least one playerposition of the plurality of game tables, an amount of game tokens thatis bet by the at least one game participant bets on a respective gametable of the plurality of game tables in each game based on the gameparticipant being associated with the respective game table; and amanagement control device configured to: store a number of gamesperformed at each game table of the plurality of game tables, andspecify, for each game, one or more positions and the amount of gametokens that is placed by the at least one game participant on therespective game table based on a measurement result by the bet chipmeasuring device; store the specified one or more positions and thespecified amount of game tokens in association with the at least onegame participant or one or more player positions of the respective gametable; and determine a first game table of the plurality of game tableswhere fraudulence is suspected based on the win or lose result of one ormore games at the first game table or a return amount of the one or moregames at the first game table.
 2. The fraudulence monitoring system of atable game according to claim 1, wherein: the management control deviceis further configured to identify, for each game at each game table ofthe plurality of game tables, the win or lose result of the game and agame return amount of the game; and the management control devicefurther includes a first function configured to specify dealers in eachgame and includes a second function configured to specify a dealerinvolved in the first game table where fraudulence is suspected.
 3. Thefraudulence monitoring system of a table game according to claim 1,wherein the management control device includes a calculation functionconfigured to factorize a total return amount in a series of games inwhich the fraudulence is suspected to specify whether an occurrencecause of the fraudulence in the series of games in which the fraudulenceis suspected is due to a winning rate or due to a magnitude of a betamount of bet game tokens.
 4. The fraudulence monitoring system of atable game according to claim 1, wherein: the management control deviceincludes a calculation function configured to store, for each game atthe plurality of gaming tables, game token amounts for each game at betposition having different return rates, and the management controldevice is configured to specify whether an occurrence cause of thefraudulence in a series of games in which the fraudulence is suspectedis associated with the bet positions having different return rates. 5.The fraudulence monitoring system of a table game according to claim 1,wherein the management control device uses a plurality of criteria todetermine whether there is a fraudulence and is configured to issue adifferent kind of warnings for each criterion.
 6. The fraudulencemonitoring system of a table game according to claim 1, wherein themanagement control device uses different determination criteria of afraudulence for the number of games divided by a predetermined rule orfor each of a predetermined number of games and is configured to issue adifferent kind of warnings based on the determination criteria used. 7.The fraudulence monitoring system of a table game according to claim 1,wherein the management control device configured to: determine whetherthere is a fraudulence for each game sequentially or every time apredetermined number of games is progressed in accordance with progressof a plurality of games, and issue a warning based on a determination ofthe fraudulence.
 8. The fraudulence monitoring system of a table gameaccording to claim 1, wherein the management control device uses aplurality of criteria to determine whether there is a fraudulence and isconfigured to: specify the game participant or the player positionhaving a fraudulence possibility for each criterion of the plurality ofcriteria to be able to display scores for each different criteria, anddisplay scores or ranks for warnings.
 9. The fraudulence monitoringsystem of a table game according to claim 1, wherein the managementcontrol device is configured to: obtain one or more values determinedbased on a probability statistic calculation used to determine whetherthere is a fraudulence based on a conditional probability calculationassociated with specific element being a fixed value.
 10. Thefraudulence monitoring system of a table game according to claim 1,wherein the management control device is further configured to:sequentially determine contents of playing cards or dice from a seriesof games, estimate a cause of the fraudulence in a case in which it isdetermined that there is a fraudulence based on data of the determinedcontents from the series of games, and enumerate the cause of thefraudulence.
 11. The fraudulence monitoring system of a table gameaccording to claim 1, wherein the management control device isconfigured to: estimate a cause of the fraudulence in a case in which itis determined that there is a fraudulence using data of past games orpast fraudulent data, or a combination thereof, and enumerate the causewith a fraudulence possibility. 12-21. (canceled)